1.Progress of Studies on Effects of Iodine Deficiency and Iodine Excess on Cells and Organisms
Journal of Environment and Health 1993;0(01):-
Iodine is the essential element of the human body. Both of iodine deficiency and iodine excess can produce different biological effects on organisms in various degree . It not only can damage the thyroid gland but also influence the nervous system and oxidize system, even damage hereditary material and immune system. The studies of the different biological effects of iodine deficiency and iodine excess on the cells and organisms can play an important role in unveiling the mechanisms of iodine deficiency disease and iodine excess disease. It also can offer the solution for preventing and curing the relevant disease of iodine.
2.Exploration and Analysis of Identification Methods for Research Fronts
Xiaocui GONG ; Yingguang ZHAO ; Xinying AN
Journal of Medical Informatics 2015;(9):47-51,64
〔Abstract〕 The paper summarizes identification methods for research fronts , including the method based on bibliometrics and the au-tomatic and semi-automatic methods based on computers .Their respective advantages and disadvantages are noted and it is suggested that such tools as semantic network should be utilized to identify research fronts in a deeper and more accurate manner .
3.Application of Disciplinary Background Knowledge in Medical Text Feature Extraction
Yingguang ZHAO ; Shaoping FAN ; Xinying AN
Journal of Medical Informatics 2017;38(4):50-54,81
The paper analyzes the conditions of research on the current scientific literature text feature extraction methods,applies the TF-IDF method based on background knowledge in the medical text feature extraction,and conducts experimental comparison in four medical fields.The result indicates that this method can obviously improve the extraction effect when there are few vocabularies to be extracted,and is obviously superior to the IDF based TF-IDF method in the aspects of filtration of commonly-used words in the text set and identification of important feature words.
4.Framework for multidimensional feature recognition-based studies on frontier knowledge discovery in medical field
Shaoping FAN ; Xinying AN ; Yingguang ZHAO
Chinese Journal of Medical Library and Information Science 2016;25(3):1-7
Multidimensional features ( life cycle features, universal acceptability, authority, innovation and inter-disciplinarity) of frontier knowledge and their measurement methods were determined according to the current scien-tific achievements in order to help scientific workers and decision makers timely discover and accurately recognize frontier knowledge.The framework for studies on frontier knowledge discovery in medical field was proposed with its key problems explained in order to provide reference for its future study.
5.Analysis on Funded Issues of Chinese High-level Medical Papers
Yong LI ; Xinying AN ; Yingguang ZHAO
Journal of Medical Informatics 2015;(6):42-47
〔Abstract〕 Based on the data of funded papers from SCIE in 2013, the funded issues of high-level medical papers wrote by Chinese authors are discussed by bibliometrics method.The levels and sources of funds from domestic and foreign countries which funding the Chi-nese medical papers are analyzed.The present situation and existing problems of Chinese high-level medical papers funded by domestic and foreign fundations are revealed.
6.Double clustering method-based breast cancer-related enzyme research frontier
Xiaocui GONG ; Yingguang ZHAO ; Xinying AN
Chinese Journal of Medical Library and Information Science 2016;(2):69-74
A co-word matrix was constructed with PubMed-covered papers on breast cancer-related enzyme from 2009 to 2011 and from 2012 to 2014 as its data source.The papers were double clustered by gCULTO to generate class groups and identify the breast cancer-related enzyme research frontiers and the evolution of different class groups.
7.UMLS-based analysis of hotspots in studies on lung cancer therapy
Xiaocui GONG ; Xinying AN ; Yingguang ZHAO
Chinese Journal of Medical Library and Information Science 2017;26(1):46-50
Objective To identify the frontiers and hotspots in studies on lung cancer therapy by text mining. Methods PubMed-covered papers on lung cancer therapy were retrieved from 2013 to 2014 . The terms with a broa-der meaning were excluded by mapping the UMLS concept with MetaMap and by limiting their semantic types. A LDA model was established to identify the topics. Results The LDA model could identify the frontiers and hotspots in studies on lung cancer therapy from 2013 to 2014 . Conclusion Frontiers and hotspots in studies on lung cancer therapy can be identified by analyzing the topics and reading the related literature, which can thus provide reference for related medical researchers and managers.
8.Long-term efficacy of the targeted therapies for metastatic renal cell carcinoma
Huafeng ZHANG ; Jia ZHAO ; Xinying LIU
Journal of Medical Postgraduates 2015;(7):737-740
Objective Molecular targeted drugs have anti-angiogenesis and anti-tumor effects.The study was to investigate the role of sunitinib on treating metastatic renal cell carcinoma ( mRCC) and its long-term efficacy and adverse reactions. Methods From November 2007 to March 2013, 281 mRCC patients were divided into two groups according to their own willingness.102 patients in the experimental group received sunitinib 50 mg per day.Pain score, metastatic focuses before and after targeted therapies were compared.179 patients in control group was treated by immunotherapy.Kaplan-Meier survival analysis was used to draw the survival curves and Cox regression model was applied in multivariate analysis. Results There was no difference between the two groups on baseline (P>0.05).In the experimental group, 78 cases were clear cell carcinoma, with remission rate 29.4%, stablity rate 53.8%and total effective rate 83.2%after treatment;15 cases were papillary renal cell carcinoma, with remission rate 33.3%, stablity ratio 46.7%and total effective rate 80.0% after treatment;9 cases were collecting duct carcinoma, with the remission rate 22.2%, the stablity ratio 55.6% and the total effective rate 77.8% after treatment.The bone scan after 1 cycle of treatment showed 2 cases progressed(10.5%), 5 cases relieved(26.3%) and 12 cases sta-blized(63.2%), the total effective rate of bone metastasis amounting to 89.5%, the effective rate of lung metastasis 81.7%, the effective rate of liver metastasis 60.0%and the effective rate of lymph node metastasis 72.8%.The median overall survival in the experimental group was 28.9 months, 20.7 months in control group(P<0.05).Cox regression analysis showed age, tumor classification, liver, lung, bone and lymph node metastasis were prognostic factors influencing mRCC.The common averse events were white blood cells, thrombocytopenia, neutropenia and hypoalbuminemia. Conclusion Sunitinib for the treatment of mRCC can diminish the metastatic focuses , ease the pain , improve the quality of life, delay the progression of the disease, and prolong the overall survival.
9.Protective Effect of Garlicin on Irradiation Injury in Mice
Ting FAN ; Xinying LIN ; Yan ZHAO
Journal of Environment and Health 2007;0(09):-
Objective To study the protective effect of garlicin on radiation injury in mice. Methods Sixty mice were randomly divided into five groups:model control group, solvent control group and garlicin treatment groups[0.17, 0.33, 1.00 g/(kg?d)]. After treated by gavage for 20 consecutive days, the mice were exposed to 60Co-? irradiation for one time and the effect of the irradiation on the amounts of WBC in peripheral blood, the ratio of micronucleus cells in marrow, the content of DNA in marrow cells and the superoxide dismutase (SOD) activity were measured. Results Compared with the exposure group, garlicin increased the amounts of WBC, decreased the micronucleus frequency of marrow cells, increased the content of DNA in marrow cells and increased the SOD activity in mice. Conclusion Garlicin shows a protective effect on irradiation injury in mice.
10.Evaluation on the Scientific and Research Influence of Institution Based on PageRank
Yong LI ; Xinying AN ; Yingguang ZHAO ; Shaoping FAN
Journal of Medical Informatics 2017;38(6):54-58
The paper puts forward the method for evaluation on the scientific influence of institution based on PageRank algorithm,configures the initial weight of each institution based on the problems of dividing equally the webpage weight number in the classical PageRank algorithm and cited frequency of the application chapter,constructs the network matrix cited by institution through the citation situation of medical SCI papers published by partial colleges and universities in 2015,respectively calculates the PageRank values of institution when self-citation is excluded or included,and conducts comparative analysis on the sequence of cited frequency indicators of the institution as well as H index.This method can be used to evaluate scientific influence of institution from two dimensions of quality and quantity.